{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 1. matplotlib简介"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "在数据分析中，数据的可视化是非常重要的一部分，将数据直观的显示不仅方便于理解，更有助于后续的数据清洗等一系列操作。\n",
    "\n",
    "matplotlib是一个用于图表的桌面绘图包，本文将对matplotlib的基本操作进行介绍。\n",
    "\n",
    "[matplotlib官网](https://matplotlib.org/)\n",
    "\n",
    "[matplotlib绘图样例](https://matplotlib.org/gallery/index.html)，样例是我们学习matplotlib最好的资源"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "#python中引入matplotlib的惯例\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x11db0cc50>]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#绘制简单的直线\n",
    "import numpy as np\n",
    "data = np.arange(10)\n",
    "plt.plot(data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 1.1 图片与子图"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "matplotlib所绘制的图位于图片(Figure)对象中，在图片中添加一个或多个子图进行绘画。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x11e1e0e10>]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "fig = plt.figure()\n",
    "ax1 = fig.add_subplot(2,2,1)#最多可以放四个子图的，且当前子图位于第一个\n",
    "ax2 = fig.add_subplot(2,2,2)#当前子图位于第二个\n",
    "ax3 = fig.add_subplot(2,2,3)\n",
    "plt.plot([1.5,3.5,-2,1.6])#直接使用的话会在最后一个子图上进行绘制"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "fig = plt.figure()\n",
    "ax1 = fig.add_subplot(2,2,1)\n",
    "ax2 = fig.add_subplot(2,2,2)\n",
    "ax3 = fig.add_subplot(2,2,3)\n",
    "plt.plot([1.5,3.5,-2,1.6])\n",
    "plt.subplots_adjust(wspace=0, hspace=0)#使用subplots_adjust调整子图之间的距离，wspace与hspace分别代表宽度和高度的百分比"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 1.2 颜色，标记和线的类型"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "matplotlib的主函数plot可以接收指定的参数来绘制不同类型的图形"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x11d1dc0f0>]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "data = np.arange(10)\n",
    "plt.plot(data, linestyle='--', color='r')#可以通过十六进制颜色代码的方式指定任何颜色"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x11d6ddac8>]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAW4AAAD8CAYAAABXe05zAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAIABJREFUeJzt3WlsXFl2H/D/YXEVyeIuiqJIUXvvq9LLdNuYnp4JnEngcYAkGAMOnHzpfLCNMRIgmQQI4gQIEASJYX8IHHQ8Dhx4kvFgZpwMAmdx4O4Zz3haS0tqSS22JEqiJFISF3GpIiluVTcfTr3mVst7Ve/Ve/fV/wcQFEvF4n0q8dStc889V4wxICIie9SFPQAiIvKGgZuIyDIM3ERElmHgJiKyDAM3EZFlGLiJiCzDwE1EZBkGbiIiyzBwExFZpj6IB+3t7TUjIyNBPDQRUSx9/PHHs8aYPjf3DSRwj4yM4Pz580E8NBFRLInIXbf3ZaqEiMgyDNxERJZh4CYisgwDNxGRZRi4iYgsE0hVCRGFZHIKuDEOrK4BzU3AyRFgsD/sUZHPGLiJ4mJyCrh6E8hm9evVNf0aYPCOGaZKiOLixvhW0HZks3o7xQoDN1FcrK55u52sxcBNFBfNTd5uJ2sxcBPFxckRQGTnbXV1ejvFCgM3UVwM9gMd7Vtf1yeA505wYTKGWFVCFCcmC/R0ApsZ/ZpBO5Y44yaKC2OA9ArQ3goM9AGNDXurTCgWOOMmiouVVQ3UbfuAoQHgyKGwR0QB4YybKC7W14GmRp1xOzY2wxsPBYaBmyguujqAL72xtUB5ZwL484+28t0UG0yVEMWNUxKYbNXUyew8cKC3/Mdj/5PI4YybKC4+/hS4dW/r664OoL4emH5c/mM6/U+c3ZdO/5PJqcrGShXhjJsoDrJZYGZOFyYddXVAXxcwPacVJ7s357hRrP9JNWbdnO3nxRk3URwsP9HgvD1wA0B/D7CxASykynvcMPufcLZfEAM3URwsLevn7RUlANDbDTxzHNjXUt7jNjcWuL0K/U/Y7bAgBm6iOEivAAKgddeMu6EeOHxQywTL0ZnMf/vx4fIezwt2OyyIgZsoDpoagf5eIJHnV3pjE7j/CHiy6u0xM1lgblHTL84Mu7FBPy+kKxuvG+x2WBAXJ4ni4PBB/chncxO4egM4dQQ4OuT+MUWAp45qmqVr28z7xh3g1n2guyPYhcKTIzrurNm6jd0OAXDGTWQ/Y/SjkJZmINnmvSywTjQwd+1Klxwf0aD96RiwvuF5uK4N9gPPndyaYTc3sdthDmfcRLZLLQFnLgOvPAP0duW/z/5uYOwesLbuLt89Ow8sLgEjg3vTL3UCvPgUkF7eSp34LbUEPJgGjg1roDYm/2JljeKMm8h26WUgkyme+93fo59n5tw95thd4P4DXfDMp7kJ6Ove+vnFZvzluDmueXnkHldE8+33Hvr7cyzFwE1ku6UVDWzFSv6SbRps08ulH28+pR8jhzSnXMzcIvCTj3NB1ifzKd00dPQQ0LBtRt/fozPxFY+LrDHEwE1ku6VlrfyoK7IzUgR4+1Xg6WOlH+/OhJYRHjpQ+r5dSU3PjI5paqVSxujiZ2MDcHhw59/15/qtTM1W/nMsxxw3ke3SK7pYWEqDi1/35ScaGI8N6dFnpYgAL5wCfnoBOHcZSCQq257+eEFn8U8f2/vzW1t0g9HUbM33GueMm8hmxmhw7HfZ/e/yZ8DorcJ/n81qf5Pds91imhqBQ/1aL17p9vTmJmDogB4Ekc/B/Xofv3PqluGMm8hmIt7qmjNZYHZG67PzNZ1qbwVOP+99HJPTe28rpxlV2z4tASzESx16jLmacYtIp4h8T0Q+E5FREXkz6IERkQtr695Oudnfo9+zmGfn48yc992Vjkq3pxuj7wSWVir7eTXCbarkdwH8b2PMUwBeBDAa3JCIyLVb94APzrhPHfR1a4nf7s04mQzwyWfAtSJplGIq3Z7+YBoYn3RX9XL7PvDh2Zo+lq1k4BaRJICfB/AtADDGrBtjFoIeGBG5kM5VlLjttd3YoAcsTO+q556Y0kBY7qLfyZH8pYPZbOlZdDYL3LyraRo3J/V0JfWFym1Negy5mXEfBTAD4D+LyEUR+X0RaS31TURUBUsrQPu+0vfbbmhAUybOLN0YLQHsaN+7vd2twX7djr59e/qxXD76Ly8WL+GbyDXAOnnE3QtQZ1IXRB/Vblmgm8XJegCvAPgNY8wZEfldAN8E8M+330lE3gPwHgAMD1eh5SNRrVtb114hbR7nUQf37/z60awGzqdcBs5CBvv3LkQOHQQuXtMt9PkqXzIZ3YrfldRqFjdEdDPO5JR+f8JF2WLMuJlxTwCYMMacyX39PWgg38EY874x5rQx5nRfX5+fYySifJwUxO7DE9zIZHWHIgAsr2iNtNuSQi9amoDXX9za+LO0sjM3nTXAQJ+mWry8aPT35ipk5n0dri1KzriNMY9E5L6InDLGXAfwLoBrwQ+NiIpqbQGePa7b2b26dVcX+d59Ezh+WMvsKpltF+M0qcoa4MKnmpo5dED7jjibdbxeQ3eHbvxxs/EohtzWcf8GgG+LSCOA2wD+fnBDIiJXmpuA4QI9uEsS7d/0/35WvUN46wR4/iRw7urO48eczTqA+zHU1dV0e1dXgdsYcwnA6YDHQkRezM4D+5q9nyc5OaWLkY5yAme5ujp0K3sms/P2cjbrbGZ0YbMrqQurNYRb3olsZIwu+m0PwG6FfQjv2nr+271uqhFoQ6oJHzsTWoKBm8hGq2s64/RaUeJ8r5fb/ebXWZKJhJ5iP/W45nqXMHAT2aiSipKwD+HNt1mn3LMk+3Nb+KtxeHGEMHAT2cjZGt7mcfMN4G/gLEe+zTrlniW5v0erYWqsRze7AxLZaGlZdw+Wc+ajEyBvjFfWO7sS+TbrlKOhXg9yKJQ3jykGbiIbnTgCDFWQk/YrcEbBq88GV4MeUQzcRDZqadIP2graWVP8+LYYYY6byDara1oGWOM9qXf47Dbws4thj6JqGLiJbLOY1kC1Wlt53aKaGvUE+OUnYY+kKhi4iWxTSUVJXNXYCfDMcRPZZmkFaGl2dwp7rdjXrNUxN8aB63fCqZSpIs64iWyTXi5v402cTU5pSaCzg7LcU+YtwcBNZJOsAVaeeD/1Ju5ujO/d9l7N/itVxlQJkU3qBPjyFzSA05aw+69UGWfcRLZJJHTHIG0Ju/9KlTFwE9lkckoX32insPuvVBkDN5FNHs1qG1PayWlc1dSoXzfUl9+4ygIM3EQ2WVrmwmQhg/3AO69r8O7tim3QBhi4ieyRyQArq+UdnlArRPQA4bnFWB+uwMBNZItKDk+oJd0dWtO9shr2SALDpWkiP01OBdfnen1Dc7dMlRR3oA/o6dTdlDHFwE3kl8kp3a3nHMTr9+npfd3Au29W/jhx19hQ3gETFmGqhMgv1Tg9XaTmDg0oy+MF4NpYbPPcDNxEfgl6997Zy8DdB/48Vtwtrei/VUzz3EyVEPmluSl/kK509972vPliWrsCxrjUzRc9nfp5bhFobQl3LAHgjJvIL3l374nens0CY3d1gdELJ2/uvCBsZmLd9c43rS2a555bCHskgeCMm8gvn5+efkdPp9leVfJ4Abh5V48cO3IIGDmkTf9LVaAUy5tz1l3Y7nrumK0LMHAT+anQ6ek9ncDbrwI3xzWA376vHf52949OL+vOv+UVoKer5rre+aq7U/89NzeBhnhVmTBwE/np8nUt2xvo2/t37a3AK88C8yng7Cf5+0ffmdA/NzQA+1qCy5vXguEB4PDBsEcRCAZuIr+srmnuudTOxq5k8X7a7765VYfc1LizNhyIddc7X8UsPbIdFyeJ/PI4txDmVDQUU6x/9PbNI07XO+f+zU2x7nrnu9v3gZ9eCHsUvuOMm8gvjxdyW9Jd9BI5OeJ+Jl0ob06l1dUBqSWt547RFnjOuIn8MregC2Ju3qJzJl0dn9dzx6sskDNuIj9sZoCWZqCvy/33cCYdvLZ9+i5obhE4dCDs0fiGgZvID/UJ4PUXwx4F7ba9njtGGLiJ/JDN7t01SdEwsB/Yl47Vc+T6KkQkISIXReR/BjkgIusYA/zonL9dAMk/A33AU0djE7QBb4uT3wAwGtRAiKy1/ERruFu4KSayMll9nmLCVeAWkUMA/jqA3w92OEQWcuq3u13Ub1M4PvkMOH8l7FH4xu2M+3cA/GMA2VJ3JKo5jxe0nC9GdcKx05XUWu4n8ejxUjJwi8jfADBtjPm4xP3eE5HzInJ+ZmbGtwESRZoxWiPc47J+m8LRHa96bjdVJW8B+EUR+SqAZgBJEfkjY8yvbL+TMeZ9AO8DwOnTp+N5XhC5E+SBuVGTNcCxYSDJk9cjLdmqJZtzi7H4v1hyxm2M+afGmEPGmBEAXwfw57uDNtHndjf+d9qVxrXxf6JO+2v3eNh4Q9UXs3pu1nGTv6LQ+L+aM/65BaB1n3bxo2g7NrzVA93ytJanwG2M+RDAh4GMhOIhqMb/boOxM+N3XjycGT/gf/DOGuDjT7VO+LmT/j42+a8zGfYIfBOfinSKhmLtSsuVN/1yA/js9lYpHgDMzgOjtwrP+P2WSmuPEjdtXCkaZueBR/YXTzBwk7/yHphbYeP/vOkXo6fFXLmxddvt+8DGZv7HCOKoL9Zv22d8MhY7XO0L3JNTwAdngP/1Y/0c10UvWw32A4P7d97WlawsTVEs6L7yzNafXzhVONfc3AQ8mN77AlCJuUXtPsf8tj26O7Z2ulrMrsXJauYvqTL19cCX39QzGKce64Gt9WX+dyt27mKybefXp47kP6DgQK/unvusUc8hHBoAZubKX8TMZoH5eLUKrQnOu6P5RW0+ZSm7AncUKhaotKeOAcMHdeX+8EGd6U5Ol39w67Fh4NrYzsN1i50WA+wNyAf3A71dW2+Vb47r/ZyH9DoJEAHeehWwuzih9iTbgEQCeMzAXT1BVSyQv+oTWzPhziTQ0Q7cndRTt8spw9rY0KDd1ACsbZSeHRc6oKCvWz/Sy8DPLmrjoe28TAJEgNYWr1dCYavL1XOnl8MeSUXsCtzF3jJTNMwvAjPzuimlIfff6/iw9okop342kwHuTGrAPf2cP2Nsb90btB1uJwFjd4H2NqC/x58xUfW8cGrr/6al7Bp9vgNWRSqrWCB/TT3WdMSx4a3b9lcQ3O4/0hn30aHKx7ZdJZOATAYYuweMDDJw26iStY2IsKuqZLBff1kcIvrKaXGuKnbmF4HOdt0Kvl0mA9x/qDNvt7JZLfnrSurbWz/lK1sENJ1TynxK3z2wfts+MWnJYFfgBjR/CgDvvgm89DSwvgE8nA53TKQyGWBxCejKE2Q3NoFPx4B7D7w9Xl/Xztm7X3afst7UqItWE1OFa8Edcws6aeiKz068mlGswMEidqVKAJ3ttO4DGhv0beqpI1otQOFbSOtMNF9Aa24C+ns19XH88NYLcDENDcFuJd+9iDm3CJy9rBUnzxwv/H2PF3XBtdzyRgpPTAoc7JpxGwMspLYCg4jmPrkBIhpW1zQgF5qJHj6o9dxu3iHNLeqLdDV1d+iGnhMjhe9jjL4T6PE5dUPVEURLhhDYFbgzWW3os7975+3zKeDCtcKVAlQdg/3Al7+gM+V8upJa0XH3wc6a7N2M0brtK9eL3y8I+3t03SSTAVJLe/9eBHj71eLBnaIriJYMIbArcNcngGdP6Fvu7TY3galZYOJROOOiLcXK/ZwNOXVSPI88O691tkeHwmu/efWmpk2eFFhMtbwtaM3avbaRqNN0q2VVJXYl6VbXNC2y+5emt0tnc7fu6Rbk3RUNFLzUkm5vf/6k5n8LOXRAP4oFvlv39BfrYIjVQscPA9OP9Z3cGy9t/Z86e1mrZk4eCW9sVJlCG7QsYleEO3sFuDi693YRfeu6tq4lZ1R9c4s6S24skCZxiOjH+oZ+5Huc+ZRu4MlXrlctrS3AC0/pC9K1m5qyWd/QjoBi168NlbCQ0jJWi9jzP3B9A1heATra8v99T6cuLt26p/lJqq75RZ0lt7g46XxjE/jwrNZo77a6pkFzKALNm/p7gGNDWiJ49Qbw43N6+70H1tX9UgHG5JqP3Ql7JJ7YE7gX0vq52CkWJ4/kan6Zf6wqY3SW7LauuaEe6O3U0sDdC8oH9wM/d1prqqPgxIhOCh7MbOXl1zes3LRBeYhoQ7SFFLCYDns0rlkUuBc1HhfLn3YldWclc9zV9WRV01T5Nt4UcvigbmXfXhro7EiM0sKfiPZvjsGmDSrAWRe762FzWMjsiXDzKe04V2rjhjGa5/ayQ48qkzVapullC3h3px5C4JQGLq0AH13Knz4JW0w2bVABDfXAwX6dRORbd4kgewL3sWFd6S9FRKsBro+X3rpM/mjbp+0H2va5/x6nNDC1pEH79n1djIzian9MNm1QEYcPanounad2P4LsCdy9Xe67zJ0Y0dru8QjO3uKo3JnnwX7d+HDuiuaLRbSGO2pismmDimhvBd55A+ixo32GHYF7Ia1lWG530SXbdJPOnUlr3vpYa21dz/4cn/T+vVOz2h51bV2/zmSiuei3e9NGc5N+HcV3B1S+RN1W2WfE2bEBZ3xCy83eecP995w4rIHhR2eBzYy1fXcjbyHXT6RQmWYxNh1FF4NNG+TCuSv6+bUXwh1HCXbMuOdTQKfHpj6pJX3rvZmr6ba0727kzad0C3uySLVPIVz0o6jp6dR39xE/2iz6gfvJmv4ie+19fGN8b2qFJVz+m8u1OC2nBJOLfhQ1QwM6EYl4aWD0A7fzVrzYxpt8OJsLntNBz0v99nZc9KOoaWzQE7UeuDhQI0R2BO66OiDZ6u37OJurjudPag13ObjoR1F0+KDu6H0Q3ZO1or84eeqI7mzy2nAo38HCnM35K5GoPMhy0Y+ipqMd+CvP+3/OqY+iP+Ouq9MaS6+c2ZzTra6hnrM5v03N6uYZorjp7Qq3O2UJ0R0ZoAfPjt4qPy892A988TXtcTI8wKDtp6wBPrkO3C2jfpvIBncf6ClMERTtVMnsnG7sqOSU70QCaGvVFwHyT3pZFyfLXZgkirr1dW3pe3RYWw0XMzmlFWura1XZMxLtwL2Q0n+wUs35S3nxKR4o7Den8bzXMk0iWwwN6M7en17QSUqhgDw5tXM9zdkzAgQWvKMbuJ0ez277kxRTTo6civNycAKRjR4v6OfMrk18j2b0QOzV3B6T5Sd7vzfgHcDRzXGvPNE6Sj9mdBubwNhdfSEgf3g5OIHIRvk262WzwPScBvVMtvikMMA9I9GdcT9Z0xSJ1403+dSJBu5slsHGLz93WjswEsVVscD7zutbf/7gTP77BrhnpOSMW0SGROQDERkVkU9F5BuBjWa73i7gS2946/FcCBco/ddQzzQJxZvbTXwh7AB2kyrZBPCPjDFPA3gDwK+JyDOBjWg750RwPyTbdHu229awVNj4ZHltXIls4jYgh7ADuGSqxBjzEMDD3J/TIjIKYBDAtcBGtbEJ/OVF4KmjetK2HzradPV3dY0zxUrdewDsa9HzPYniygm8bsr8qrwD2FOOW0RGALwM4EwQg/ncQkoXJ0udL+lFsl1fLVdWGbgrsbauq+iDB8IeCVHwItqSwXXgFpE2AN8H8JvGmD3lGSLyHoD3AGB4uIINM4BWLJQ60d2rznbgK2/pQiWVz+nW2M1FXqKwuCoHFJEGaND+tjHmB/nuY4x53xhz2hhzuq+vzG5xjoUU0O7iRHcvRBi0KzU5pdvcAeDSZzyUgigkbqpKBMC3AIwaY3478BFljQbuIMr2Jqf0aCIuUHrn7A7bvRmBwZuo6tzMuN8C8HcBfElELuU+vhrYiDIZbWTe1+3/Y29m9BRxHqbgXbHzIYmoqtxUlfwEmnGujoZ6bc4fhGTuQNvUEhcoveKJQkSREb0t76trwaUykq36EsSNON7xRCGiyIhe4P7oEnA5oB64zg7KVDqYx4+zfLvAeKIQUSiiFbhX17RHiZPSCEJfN9DEWaJnzmJxfS67xvMhiUITnSZTk1N62g0A3L6vDaaCCAqnjvj/mLVgdl4/v/mSP/1jiKhs0QjcuxuRr28E3ogcxvjXB6UWzC7oLLvUSSBEFLhopEqqWWqWNcCPzgI37/r/2HHW1w0cPcQXO6IIiMaMu5qlZnWii2pcoPRmiL1JiKIiGjPuapeadbRrSSB3ULqTWtLmUkQUCdEI3NVuRJ5s0zz6KoORK1dvAhc+DXsURJQTjcBd7UbkHc4OSqZLSlrfABbTeiIREUVCNHLcQHX73ibbgKEB7vpzwznpmoGbKDKiE7irKZHQGT2VNjuv7XU72H+bKCqikSoJgzHA0goXKIsxRgN3Txd7mRNFSG3OuAHg3kPg2hjwxdeBlpBTJpNT7s61qzYR4PUX99bYE1GoajdwJ1v1cyodbuDevWvUOaAAiEbw3sf2t0RRU7upEqeRVdgtXqN8QMGte8Cj2bBHQUS71G7gTiS0WVIq5MAd1QMKMllg7B4wtxDuOIhoj9oN3EBuB2U63AXKqB5QML+oM3+WARJFTm0H7uEB4LmAjklzK9+uUSD8/PbsvC5OdneGOw4i2qN2FycBoDMCtcmD/cDGJnBnYquq5OD+re3+2Wz+wB602Xk9PKE+Uf2fTURF1XbgBnRnYJ0AXR3hjeHhtFZvvPP6ztvnFoEr14GXnwn2VKDdMhn93NtdvZ9JRK7VdqoE0FruW/fD+/nGAOlloL11798l6nSR8KNLwFQVqzsSCeDtV7X/NhFFDmfcHW3AzHx4J+KsrGpwzhe4O9qBL7wMXLimHwd6gYV08Bt1nH8LHppAFEmccSfbtQNeWP2m07lyxPYCqZDmJuD1FzSIP5rdKhN0NupMTvk7HmOAH53TnDsRRRIDd0fIG3HSy/q5vcgBvIlE/heWIDbqpJaAJ6t6WDMRRRIDd3vIvbn39wDPHtfgXEyxjTqTU8Bmxp/xOKe5s36bKLKY465PAG+9ArQWmfEGqaNdP0ppbiocvC9fB+pu7jx8otzGVbPzmm9vanR7BURUZQzcQHVL7bbbzOgOxc4k0FDiqTg5srMZFaD13c+dAFqataTQWeC8cQe4fR9wNoS6bVy1mQHmU8DIYLlXRERVwFQJoH25R29Vf4EytQScv6rBu5Rix7t1dwDPnth6Abr3cCtoO9zkw7NZ4OgQcKDP65UQURVxxg0AGxvA+KRu7+7vqd7P/XxhMk8pYD5uj3fb2Mx/e6nGVY0NwR3QTES+4Ywb0Bk3oCeZf3DG/xK7QtJLmiLxu6FUuY2rHi9s7Zokoshi4J6cAq7d2vo6qProfJwdk35vdMnXuKquTm+fW8yfElpZBc5eBu4/8ncsROQ7Bu6wDjIottW9UoXy4Qd6gYvXgJ9e2JtXn53TzywDJIo85rjDPMjgjZdK12+Xq1A+/PRzwMVR4Mxl4NQRrSARAWYXNMC3tgQzHiLyDQN3ofrooA8yEAmnDLGjXevWr1wHPrsNPJgC1jf13yBRBzyYDr8XOBEVxVRJsXxwkGbmqrcIultDvbaKHejTdI3zwpXJVi+/T0RlcxW4ReQXROS6iIyJyDeDHlRV7c4HiwDPHAt+1nnvoR7GGxYR3WxTTr03EYWqZKpERBIA/gOArwCYAHBORH5ojLkW9OCqxskHz84D565UZ7t3egnoCPkEnqgeVExERbmZcb8GYMwYc9sYsw7gOwC+FuywQtLVoXnemblgf87GJvBkDUgGUFHiRVQPKiaiotwE7kEA24+ImcjdtoOIvCci50Xk/MzMjF/jq65EHdDTpYE7yJPfve6YDEpY+X0iqoibwJ1vd8ieqGaMed8Yc9oYc7qvz+JeF31dOhtefhLcz1jO7dQMO3AX639CRJHlphxwAsDQtq8PAXgQzHAioK8bOHQg/8uVX4YGtA93FA4rcNv/hIgiw82M+xyAEyJyREQaAXwdwA+DHVaIWpqB508G35+7qZFnOhJRWUoGbmPMJoBfB/B/AIwC+K4x5tOgBxYqY7Tlql+nyux+7EujwS+AElFsudo5aYz5UwB/GvBYomM+BZz5RDepHOj197FXVoGHM0BPp7+PS0Q1gzsn8+ls1yPNgpgVO6e6h3XqDhFZj4E7n7o67ZIXRFlgKlcK2BbSGZdEZD0G7kJ6u7VvtVNz7Zf0snbgC6orIBHFHgN3IX25vtRBpEs6Q97qTkRWY1vXQpqbgNee97+fyKvP+vt4RFRzGLiL6eFpMEQUPUyVFLOZAcbuatdAP0w8Aj66VPgUdiIiFxi4i0nUAeOTeiqMHxZSeqJ8PRcmiah8DNzFiPhbFpgK6FR3IqopDNyl9HUD6xu6Bb4SxgBLy0A7N94QUWUYuEvpzS1QTldYFriyqmc6ht3KlYisx8BdSlMj0N0BbFa4oJjNAvu7dTs9EVEFWA7oxmsvVJ6Xbm8FXn3On/EQUU3jjNsNJ2hXskCZyfozFiKqeQzcbp2/Cly+Xv73/8V54NqYf+MhoprFwO1WY335ZYEbm8CTVc2XExFViIHbrb5uDcALae/fG5VT3YkoFhi43eqtoFvg54GbNdxEVDkGbrcaGoCuZJmBewloqAeamSohosqxHNCLw4PAxobmub2UB/Z266nx3OpORD5g4PZioK+87/P7wGEiqmlMlXi1ugY89tDmdWNTOwL6fXYlEdUszri9ujQKzKf0z81NwMkRYLC/8P1n5/V7vvAy0MHt7kRUOc64vZic2lkOuLoGXL2ptxeS5qnuROQvBm4vbozvTXlks3p7IellXZjkqe5E5BMGbi9W1wrfvpnJn8dOLwFJbrwhIv8wx+1Fc1P+4N3cBFy/rfnsoQHg0AGt974xrvffmNN0SrFcOBGRSwzcXpwc0Zx2dlunv7o6vT2R0LTI9Tv6IQCcCfhmRr8PYPAmoooxcHvhBF1nJr27quRArwbvn13c28bVyYUzcBNRhRi4vRrsLx5821sL994ulCMnIvKAi5NBaG7ydjsRkQcM3EE4OaK57+2cXDgRUYWYKglCqVw4EVEFGLiDUioXTkRUJqZKiIgsw8BNRGQZBm4iIsswcBMRWYaBm4jIMmICOJlFRGYA3C1Ts0FPAAAEB0lEQVTz23sBzPo4nLDF7XqA+F1T3K4HiN81xe16gL3XdNgY4+p8xEACdyVE5Lwx5nTY4/BL3K4HiN81xe16gPhdU9yuB6jsmpgqISKyDAM3EZFlohi43w97AD6L2/UA8bumuF0PEL9ritv1ABVcU+Ry3EREVFwUZ9xERFREZAK3iPyCiFwXkTER+WbY4/GDiIyLyBURuSQi58MeTzlE5A9EZFpErm67rVtE/kxEbuY+d4U5Ri8KXM9vichk7nm6JCJfDXOMXojIkIh8ICKjIvKpiHwjd7vNz1Gha7LyeRKRZhE5KyKf5K7nX+ZuPyIiZ3LP0R+LSKPrx4xCqkREEgBuAPgKgAkA5wD8sjHmWqgDq5CIjAM4bYyxtv5URH4ewBKA/2KMeS53278FMGeM+Te5F9kuY8w/CXOcbhW4nt8CsGSM+Xdhjq0cIjIAYMAYc0FE2gF8DOCXAPw92PscFbqmvwMLnycREQCtxpglEWkA8BMA3wDwDwH8wBjzHRH5jwA+Mcb8npvHjMqM+zUAY8aY28aYdQDfAfC1kMdEAIwxPwYwt+vmrwH4w9yf/xD6S2WFAtdjLWPMQ2PMhdyf0wBGAQzC7ueo0DVZyail3JcNuQ8D4EsAvpe73dNzFJXAPQjg/ravJ2DxE7WNAfB/ReRjEXkv7MH4qN8Y8xDQXzIA+0Mejx9+XUQu51Ip1qQVthOREQAvAziDmDxHu64JsPR5EpGEiFwCMA3gzwDcArBgjNnM3cVTzItK4JY8t4Wfw6ncW8aYVwD8NQC/lnubTtHzewCOAXgJwEMA/z7c4XgnIm0Avg/gN40xqbDH44c812Tt82SMyRhjXgJwCJpheDrf3dw+XlQC9wSAoW1fHwLwIKSx+MYY8yD3eRrAn0CfsDiYyuUhnXzkdMjjqYgxZir3i5UF8J9g2fOUy5t+H8C3jTE/yN1s9XOU75psf54AwBizAOBDAG8A6BQR5xQyTzEvKoH7HIATuVXWRgBfB/DDkMdUERFpzS2sQERaAfxVAFeLf5c1fgjgV3N//lUA/yPEsVTMCXA5fxMWPU+5ha9vARg1xvz2tr+y9jkqdE22Pk8i0icinbk/twD4MjRv/wGAv5W7m6fnKBJVJQCQK+35HQAJAH9gjPnXIQ+pIiJyFDrLBvRsz/9q4zWJyH8D8EVoJ7MpAP8CwH8H8F0AwwDuAfjbxhgrFvwKXM8XoW+/DYBxAP/AyQ9HnYi8DeAvAFwBkM3d/M+gOWFbn6NC1/TLsPB5EpEXoIuPCehk+bvGmH+VixHfAdAN4CKAXzHGrLl6zKgEbiIicicqqRIiInKJgZuIyDIM3ERElmHgJiKyDAM3EZFlGLiJiCzDwE1EZBkGbiIiy/x/NH85YIgtHK8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(np.random.randn(30).cumsum(), color='#FFB6C1', linestyle='--', marker='o')\n",
    "#marker可以将凸显实际的数据点"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 1.3 刻度，标签和图例"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "在matplotlib中我们也可以为图片添加必要的属性以方便理解"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x11d98a048>]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "ax = fig.add_subplot(1,1,1)\n",
    "ax.plot(np.random.randn(1000).cumsum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x11d56f2e8>]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#改变x轴刻度\n",
    "fig = plt.figure()\n",
    "ax = fig.add_subplot(1,1,1)\n",
    "ticks = ax.set_xticks([0,250,500,750,1000])\n",
    "labels = ax.set_xticklabels(['one', 'two', 'three', 'four', 'five'],\n",
    "                           rotation=30, fontsize='small')#设置x坐标的刻度，rotation可以设置刻度的旋转角度\n",
    "ax.set_title(\"My title\")#为图表设置标题\n",
    "ax.set_xlabel(\"x-label\")#为x轴设置标记\n",
    "ax.plot(np.random.randn(1000).cumsum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x11e633320>"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#添加图例\n",
    "fig = plt.figure()\n",
    "ax = fig.add_subplot(1,1,1)\n",
    "t1 = np.arange(0.0, 2.0, 0.01)\n",
    "s1 = 1 + np.sin(2 * np.pi * t1)\n",
    "t2 = np.arange(0.0, 2.0, 0.01)\n",
    "s2 = 2 + np.sin(2 * np.pi * t2)\n",
    "t3 = np.arange(0.0, 2.0, 0.01)\n",
    "s3 = 3 + np.sin(2 * np.pi * t3)\n",
    "ax.plot(t1,s1,'r',label='one')\n",
    "ax.plot(t2,s2,'g--',label='two')\n",
    "ax.plot(t3,s3,'b*',label='three')\n",
    "ax.legend(loc='best')#best会在图片的合适位置自动添加图例"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 1.4 将图片保存到文件"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.savefig('figpath.svg')#参数为文件要保存的路径"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 2. 使用pandas和seaborn绘图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.patches.Circle at 0x116c9cc90>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.collections import PatchCollection\n",
    "from matplotlib.patches import Circle, Wedge, Polygon, Ellipse\n",
    "color = r'#39CF18'\n",
    "fig, ax = plt.subplots(figsize=[8,8])\n",
    "plt.xticks([])\n",
    "plt.yticks([])\n",
    "ax.set_fc(color)\n",
    "plt.ylim([0,40])\n",
    "plt.xlim([0,40])\n",
    "es1 = Ellipse([15,24], width=21, height=18, facecolor='white', zorder=1)\n",
    "es2 = Ellipse([26,16], width=18, height=15, facecolor='white',linewidth=5,edgecolor=color,zorder=1)\n",
    "c1 = Circle([11,27], radius=1.3, facecolor=color, zorder=2)\n",
    "c2 = Circle([19,27], radius=1.3, facecolor=color, zorder=2)\n",
    "c3 = Circle([23,18], radius=1, facecolor=color, zorder=2)\n",
    "c4 = Circle([29,18], radius=1, facecolor=color, zorder=2)\n",
    "ax.add_artist(es1)\n",
    "ax.add_artist(es2)\n",
    "ax.add_artist(c1)\n",
    "ax.add_artist(c2)\n",
    "ax.add_artist(c3)\n",
    "ax.add_artist(c4)\n",
    "# patches.extend([c1,c2,c3,c4])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.patches.Circle at 0x116daa4d0>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "circle1 = plt.Circle((0, 0), 0.2, color='r')\n",
    "circle2 = plt.Circle((0.5, 0.5), 0.2, color='blue')\n",
    "circle3 = plt.Circle((1, 1), 0.2, color='g', clip_on=False)\n",
    "\n",
    "fig, ax = plt.subplots() # note we must use plt.subplots, not plt.subplot\n",
    "# (or if you have an existing figure)\n",
    "# fig = plt.gcf()\n",
    "# ax = fig.gca()\n",
    "\n",
    "ax.add_artist(circle1)\n",
    "ax.add_artist(circle2)\n",
    "ax.add_artist(circle3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
